rewind
@rewind02 • 4,214 subscribers
18 | Building with AI in public
Videos
AI researcher breaks down why your $5,000 Mac Studio runs local AI slower than benchmarks promise: "Performance isn't about the hardware - it's about three software layers stacked on top of it." in 15 minutes he tests MLX, Ollama, llama.cpp, and the new vllm-mlx head to head no GPU needed, just the Mac you probably already own - why Ollama, the most popular tool, is actually one of the slower options on Mac - the real bottleneck nobody benchmarks: 'prefill' time before the first token even appears - the exact quantization setting (4-bit) that's the best speed-to-quality tradeoff - why unified memory makes Macs uniquely good for big models compared to Nvidia GPUs complete guide to choosing the right hardware for local AI is below 👇
rewind204,951 次观看 • 4 天前
Andrej Karpathy spent 4 minutes in an interview explaining a single idea about how most people haven’t even started learning how to use AI and everyone paying $20/month for a subscription.. that's not really using Claude at all his point is that the real skill gap is the ability to build with AI he identified 4 behaviors that break Claude Code and put them all into one file a developer expanded it into 21 rules and published it - 82,000 stars and #1 on GitHub Trending coding accuracy jumped from 65% to 94% here's what these 21 rules actually are and why most developers using Claude every day have never configured them the full breakdown is covered in the article below 👇
rewind3,178,485 次观看 • 1 个月前
Claude Code creator, Boris Cherny: "A year ago, I prompted Claude to write code. Now I don't prompt Claude anymore. I have loops that are running. They're the ones prompting Claude. My job is to write loops." in 30 minutes, Boris explains exactly what that next abstraction layer looks like - and why it's coming for everyone, not just engineers -why he uninstalled his IDE the moment he stopped needing it -the "underfund the team, overfund the tokens" strategy he recommends to every founder -why hundreds of his Claudes are scanning Twitter and GitHub right now, deciding what to build next -the real reason coding became Anthropic's testing ground for AI safety in the first place guide on loop👇
rewind175,641 次观看 • 9 天前
A Stanford professor just gave a public lecture on exactly how GPT, Claude, and LLaMA are built under the hood no insider access required just the clearest breakdown of modern LLM architecture I've seen this lecture reveals the framework professors are paid up to $750K a year to teach the gap between "I use ChatGPT" and "I understand how it works" is smaller than most people think the most complete public breakdown of modern LLM architecture I've seen this year
rewind162,332 次观看 • 16 天前
Shopify Head of Engineering: "We have 3,000 engineers acting like 100,000. We're trying to solve the problem of entrepreneurship." in 26 minutes, Farhan breaks down exactly how Shopify turned AI into a profit multiplier, not a headcount cut here's what he covers: - why cheaper tools always mean more builders, not fewer jobs - the "AI leverage" mindset that turns 1 person into a full team - how a single intern saved $600K by deleting 6 lines of code - why the best AI users get to build, not get replaced most people think AI means smaller teams and fewer opportunities the people paying attention are using it to build businesses solo that used to need 50 people how to automate content creation at scale with AI 👇
rewind16,831 次观看 • 3 天前
Andrej Karpathy spent 2 hours explaining what most AI educators won't tell you it's about what happens to humans when AI takes over knowledge work Karpathy has been in AI for 20 years. he built GPT-2, co-founded OpenAI, led Tesla Autopilot the part most people skip past: > the AI you're using today can't actually learn > "year of agents" is a marketing phrase. he calls it the decade of agents > coding assistants are great at boilerplate. they fall apart on novel architecture > the bottleneck isn't compute. it's that current models memorize instead of reason > most people open Claude, ask a question, close the tab > the humans who flourish won't be the ones who fear AI. they'll be the ones who stayed curious and kept building mental models right now most people are outsourcing thinking without building the skill underneath Karpathy's answer isn't to slow AI down, it's to build better humans faster he's designing a Starfleet Academy from scratch: AI-assisted, expert-led, built on first principles the goal is "eurekas per second" - how fast can you get someone from zero to genuine understanding full 2-hour conversation is below the education section alone is worth more than most $2,000 courses you've seen in your feed
rewind124,743 次观看 • 1 个月前
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